Senior Data Solutions Architect

2 weeks ago

Jaipur, Rajasthan, India beBeeDataEngineer Full time ₹ 18,90,000 - ₹ 25,14,000
Job Description

We are seeking an experienced Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs.

  • Design and build data pipelines that integrate structured and unstructured data from various sources into data lakes and warehouses.
  • Develop and maintain scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
  • Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
  • Design, develop, and optimize DBT models to support scalable data transformations.
  • Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Manage environments, performance tuning, and configuration for cloud-native data solutions.
  • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
Required Skills and Qualifications
  • 7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
  • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring.
  • 5+ years of experience in data engineering using Snowflake.
  • Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
  • Experience in building and managing streaming and batch inferencing.
  • Proficiency in SQL and any one other programming language.
  • Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
  • Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.
  • Familiarity with security best practices in DevOps and ML Ops.
  • Experience in developing and maintaining APIs (e.g.: REST).
  • Agile/Scrum operating experience using Azure DevOps.
  • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others.
Benefits

As a Senior Data Engineer at Radiant Systems Inc., you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of data professionals. You will also have access to ongoing training and professional development opportunities to enhance your skills and advance your career.

Others

Our company values innovation, collaboration, and customer satisfaction. We are committed to delivering high-quality solutions that meet the needs of our customers and stakeholders.

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